In this note we discuss how recognition can be achieved from a single 2D model view exploiting prior knowledge of an object's structure (e.g. symmetry). We prove that for any bilaterally symmetric 3D object one non- accidental 2D model view is sufficient for recognition. Symmetries of higher order allow the recovery of structure from one 2D view. Linear transformations can be learned exactly from a small set of examples in the case of "linear object classes" and used to produce new views of an object from a single view.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5968 |
| Date | 01 February 1992 |
| Creators | Poggio, Tomaso, Vetter, Thomas |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 22 p., 1962838 bytes, 1538757 bytes, application/postscript, application/pdf |
| Relation | AIM-1347 |
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